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Data Visualization Training Courses

Local, instructor-led live Data Visualization training courses demonstrate through discussion and hands-on practice the skills, strategies, tools and approaches for visualizing and reporting data for different audiences. Case studies are also analyzed and discussed to exemplify how data visualization solutions are being applied in the real world to derive meaning out of data and answer crucial questions..
Data Visualization training is available as "onsite live training" or "remote live training". Onsite live Data Visualization trainings in Canada can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.
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Testimonials

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I thought that the information was interesting.

Allison May

Course:Data Visualization

I really appreciated that Jeff utilized data and examples that were applicable to education data. He made it interesting and interactive.

Carol Wells Bazzichi

Course:Data Visualization

Learning about all the chart types and what they are used for. Learning the value of cluttering. Learning about the methods to show time data.

This course is intended for data engineers, decision makers and data analysts and will lead you to create very effective plots using R studio that appeal to decision makers and help them find out hidden information and take the right decisions

Druid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo.

In this course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.

Course is dedicated for those who would like to know an alternative program to the commercial MATLAB package. The three-day training provides comprehensive information on moving around the environment and performing the OCTAVE package for data analysis and engineering calculations. The training recipients are beginners but also those who know the program and would like to systematize their knowledge and improve their skills. Knowledge of other programming languages is not required, but it will greatly facilitate the learners' acquisition of knowledge. The course will show you how to use the program in many practical examples.

This training is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

Audience

- System administrators

Format of the course

- Heavy emphasis on live practice- Most of the concepts are learned through exercises and hands-on implementation and deployment

Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

Apache Zeppelin is a web-based notebook for capturing, exploring, visualizing and sharing Hadoop and Spark based data.

This instructor-led, live training introduces the concepts behind interactive data analytics and walks participants through the deployment and usage of Zeppelin in a single-user or multi-user environment.

By the end of this training, participants will be able to:

- Install and configure Zeppelin- Develop, organize, execute and share data in a browser-based interface- Visualize results without referring to the command line or cluster details- Execute and collaborate on long workflows- Work with any of a number of plug-in language/data-processing-backends, such as Scala (with Apache Spark), Python (with Apache Spark), Spark SQL, JDBC, Markdown and Shell.- Integrate Zeppelin with Spark, Flink and Map Reduce- Secure multi-user instances of Zeppelin with Apache Shiro

Audience

- Data engineers- Data analysts- Data scientists- Software developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Embedding Projector is an open-source web application for visualizing the data used to train machine learning systems. Created by Google, it is part of TensorFlow.

This instructor-led, live training introduces the concepts behind Embedding Projector and walks participants through the setup of a demo project.

By the end of this training, participants will be able to:

- Explore how data is being interpreted by machine learning models- Navigate through 3D and 2D views of data to understand how a machine learning algorithm interprets it- Understand the concepts behind Embeddings and their role in representing mathematical vectors for images, words and numerals.- Explore the properties of a specific embedding to understand the behavior of a model- Apply Embedding Project to real-world use cases such building a song recommendation system for music lovers

Audience

- Developers- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

In this instructor-led, live training, participants will learn the skills, strategies, tools and approaches for visualizing and reporting data for different audiences. Case studies are also analyzed and discussed to exemplify how data visualization solutions are being applied in the real world to derive meaning out of data and answer crucial questions.

By the end of this training, participants will be able to:

- Write reports with captivating titles, subtitles, and annotations using the most suitable highlighting, alignment, and color schemes for readability and user friendliness.- Design charts that fit the audience's information needs and interests- Choose the best chart types for a given dataset (beyond pie charts and bar charts)- Identify and analyze the most valuable and relevant data quickly and efficiently- Select the best file formats to include in reports (graphs, infographics, references, GIFs, etc.)- Create effective layouts for displaying time series data, part-to-whole relationships, geographic patterns, and nested data- Use effective color-coding to display qualitative and text-based data such as sentiment analysis, timelines, calendars, and diagrams- Apply the most suitable tools for the job (Excel, R, Tableau, mapping programs, etc.)- Prepare datasets for visualization

Audience

- Data analysts- Business managers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.

In this instructor-led, live training, participants will learn how to use Microsoft Power Bi to analyze and visualize data using a series of sample data sets.

In this instructor-led, live training, participants will learn how to create web-based data-driven visualizations that run on multiple devices responsively.

By the end of this training, participants will be able to:

- Use D3 to create interactive graphics, information dashboards, infographics and maps.- Control HTML with jQuery-like selections.- Transform the DOM by selecting elements and joining to data.- Export SVG for use in print publications.

Audience

- Developers- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Highcharts is an open-source JavaScript library for creating interactive graphical charts on the Web. It is commonly used to represent data in a more user-readable and interactive fashion.

In this instructor-led, live training, participants will learn how to create high-quality data visualizations for web applications using Highcharts.

By the end of this training, participants will be able to:

- Set up interactive charts on the Web using only HTML and JavaScript- Represent large datasets in visually interesting and interactive ways- Export charts to JPEG, PNG, SVG, or PDF- Integrate Highcharts with jQuery Mobile for cross-platform compatibility

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice